Image Stitching Based on SIFT Algorithm and Contourlet Transform

LI Xiao-lin; LI Yin; DU Kui

Chinese

您当前的位置：

首页 >

文章列表页 >

Image Stitching Based on SIFT Algorithm and Contourlet Transform

更新时间：2026-09-04

- Image Stitching Based on SIFT Algorithm and Contourlet Transform
- Vol. 34, Issue 8, Pages: 62-65(2017)
- 作者机构：
  
  1. 重庆邮电大学机构,重庆,400065
  2. 重庆信科设计有限公司,重庆,40065
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2017
- 稿件说明：
移动端阅览
李校林, 李银, 杜奎. 基于SIFT算法和Contourlet变换的图像拼接研究[J]. 微电子学与计算机, 2017, 34(8): 62-65.

LI Xiao-lin, LI Yin, DU Kui. Image Stitching Based on SIFT Algorithm and Contourlet Transform[J]. 2017, 34(8): 62-65.
李校林, 李银, 杜奎. 基于SIFT算法和Contourlet变换的图像拼接研究[J]. 微电子学与计算机, 2017, 34(8): 62-65. DOI：

LI Xiao-lin, LI Yin, DU Kui. Image Stitching Based on SIFT Algorithm and Contourlet Transform[J]. 2017, 34(8): 62-65. DOI：

摘要

利用"回"型采样窗口将邻域分割成四个子域，并采用自适应量化策略进行梯度直方图和局部区域的划分，最终建立96维的特征点描述符，进一步提高SIFT匹配算法的鲁棒性和实时性.基于改进的SIFT算法，根据Contourlet变换理论提出了一种新的图像融合方法，主要解决边缘信息和纹理信息的融合问题，有效地消除色差使融合后的图像更清晰.实验结果表明，这种新方法可以加快图像配准中的SIFT过程，增强图像拼接效果.

Abstract

In this paper

we use the "back" sampling window to divide the neighborhood into four sub-domains and use the adaptive quantization strategy to divide the gradient histogram and the local area. Finally

we construct 96-dimensional feature point descriptor

and further improve the SIFT matching algorithm Robustness and real-time. Based on the improved SIFT algorithm

this paper proposes a new image fusion method based on Contourlet transform theory

which solves the fusion problem of edge information and texture information

and eliminates chromatic aberration to make the fused image clearer. Experimental results show that this new method can speed up the SIFT process in image registration and enhance the image stitching effect.

关键词

Keywords

references

洪宋. 基于SIFT算法和图结构的全景图像拼接[D]. 淮南: 安徽理工大学, 2015.

Sedaghat A, Ebadi H. Remote sensing image mathching based on adaptive bining SIFT descriptor[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(10): 5283-5292. DOI: 5283

Do M, Vetterli M. The contourlet transform: An efficient directional multiresolution image representation[J]. IEEE Transactions on Image Processing, 2005, 14(12): 2091-2016. DOI: 2091

Lowe D. Distinctive image features from scale-invariant key points[J]. Nit Compute Vis, 2004(60): 91-110. DOI: 91

Mikolajczyk K, Schmid C. A perform-ance evaluation of local descriptors[C]//IEEE Computer Society Conference on computer Vision and Pattern Recognition. IEEE, 2005.

李长春, 齐修东, 雷添杰, 等. 基于改进SURF算法的无人机遥感影像快速拼接[J]. 地理与地理信息科学, 2013, 29(5): 22-25. DOI: 22

杨舒, 王玉德. 基于Contourlet变换和Hu不变矩的图像检索算法[J]. 红外与激光工程, 2014, 43(1): 306-310. DOI: 306

Tu Jun. Image comprehension based on contourlet transform[J]. Computer and Modernization, 2010, 5: 69-71. DOI: 69

尚明姝. 基于改进SIFT特征匹配的快速图像拼接算法[J]. 微电子学与计算机, 2014, 31(1): 64-67. DOI: 64

余婷, 厉小润. 基于SIFT的全自动遥感图像配准算法[J]. 机电工程, 2013, 30(1): 111-115. DOI: 111

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Lightweight countermeasures against Spectre attacks on the branch prediction unit

Design of ultra-low power real-time clock circuits

Simulation on the DC characteristics of double heterojunction p-GaN HEMT with AlN/GaN hybrid buffer layer

A review of large model development: technological evolution from BERT to Deepseek

Implementation and verification of a dual-chain power gating strategy for low power design

Related Author

No data

Related Institution

No data

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰